◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Rodrigo Agerri

HiTZ Center - Ixa

4 papers hereh-index 201.4k citations75 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4
affiliations
  • HiTZ Center - Ixa
  • University of the Basque Country UPV/EHU
Homepage
same name
  • Rodrigo Agerri — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedRobust Multilingual Named Entity Recognition with Shallow Semi-Supervised Features

91 citations · 105 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2017★ 7 cited

EliXa: A Modular and Flexible ABSA Platform

Iñaki San Vicente, Xabier Saralegi, Rodrigo Agerri

This paper presents a supervised Aspect Based Sentiment Analysis (ABSA) system. Our aim is to develop a modular platform which allows to easily conduct experiments by replacing the…

cs.CL2017★ 7 cited

Q-WordNet PPV: Simple, Robust and (almost) Unsupervised Generation of Polarity Lexicons for Multiple Languages

Iñaki San Vicente, Rodrigo Agerri, German Rigau

This paper presents a simple, robust and (almost) unsupervised dictionary-based method, qwn-ppv (Q-WordNet as Personalized PageRanking Vector) to automatically generate polarity le…

cs.CL2017

Multilingual and Cross-lingual Timeline Extraction

Egoitz Laparra, Rodrigo Agerri, Itziar Aldabe +1

In this paper we present an approach to extract ordered timelines of events, their participants, locations and times from a set of multilingual and cross-lingual data sources. Base…

cs.CL2017★ 91 cited

Robust Multilingual Named Entity Recognition with Shallow Semi-Supervised Features

Rodrigo Agerri, German Rigau

We present a multilingual Named Entity Recognition approach based on a robust and general set of features across languages and datasets. Our system combines shallow local informati…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.